Computational Social Networks: Mining and Visualization

✍ Scribed by Neveen Ghali, Mrutyunjaya Panda, Aboul Ella Hassanien, Ajith Abraham, Vaclav Snasel (auth.), Ajith Abraham (eds.)

Publisher: Springer-Verlag London
Year: 2012
Tongue: English
Leaves: 389
Edition: 1
Category: Library

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✦ Synopsis

This book is the third of three volumes that illustrate the concept of social networks from a computational point of view. The book contains contributions from a international selection of world-class experts, with a specific focus on knowledge discovery and visualization of complex networks (the other two volumes review Tools, Perspectives, and Applications, and Security and Privacy in CSNs). Topics and features: presents the latest advances in CSNs, and illustrates how organizations can gain a competitive advantage from a better understanding of complex social networks; discusses the design and use of a wide range of computational tools and software for social network analysis; describes simulations of social networks, and the representation and analysis of social networks, highlighting methods for the data mining of CSNs; provides experience reports, survey articles, and intelligence techniques and theories relating to specific problems in network technology.

✦ Table of Contents

Front Matter....Pages i-xiv
Front Matter....Pages 1-1
Social Networks Analysis: Tools, Measures and Visualization....Pages 3-23
Performance Evaluation of Social Network Using Data Mining Techniques....Pages 25-49
Bio-inspired Clustering and Data Diffusion in Machine Social Networks....Pages 51-79
Mining Geo-Referenced Community-Contributed Multimedia Data....Pages 81-102
Correlation Mining for Web News Information Retrieval....Pages 103-128
Mining Micro-blogs: Opportunities and Challenges....Pages 129-159
Mining Buyer Behavior Patterns Based on Dynamic Group-Buying Network....Pages 161-181
Reliable Online Social Network Data Collection....Pages 183-210
Knowledge Mining from the Twitter Social Network: The Case of Barack Obama....Pages 211-229
Front Matter....Pages 231-231
Mining and Visualizing Research Networks Using the Artefact-Actor-Network Approach....Pages 233-267
Intelligent-Based Visual Pattern Clustering for Storage Layouts in Virtual Environments....Pages 269-290
Extraction and Analysis of Facebook Friendship Relations....Pages 291-324
Analysis of Human-Computer Interactions and Online Social Networking: A Framework....Pages 325-343
Implementation of Social Network Analysis for Web Cache Content Mining Visualization....Pages 345-376
Back Matter....Pages 377-385

✦ Subjects

Computer Communication Networks; Database Management; User Interfaces and Human Computer Interaction; Computers and Society

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